MLOps Engineer
Checkatrade, Moorgate London +1
The role
- Deploy, automate, monitor and retrain ML models, moving refresh frequency towards real-time where it adds value.
- Set the MLOps standards for the Data Science team: CI/CD, model versioning and reusable patterns that save everyone reinventing the wheel.
- Build the infrastructure that lets AI tools and agents (including Claude, MCP services and knowledge bases) access Checkatrade data securely.
- Help keep our GCP-based data platform (with some infrastructure in AWS) reliable and secure, and chip away at legacy and technical debt.
- Watch models, pipelines, AI usage and platform services, so drift, reliability and cost issues get caught early.
- Apply the right controls to ML and AI workloads, including sensitive-data access, lineage and reproducibility.
Nice to have
- Streaming or event-driven systems for real-time inference.
- LLM and agent infrastructure (MCP, retrieval-augmented generation, vector stores).
- Feature stores, model registries and drift detection.